Archaic data, manual entry, untimely data updates, low visibility and complex compliance requirements can impede the performance of your enterprise. In this paper, Infosys' experts demonstrate how RFID provides a
... collaborative environment to synchronize the physical flow of goods and related information. They propose a four-step approach for companies to re-engineer business processes and achieve a sustainable business model.
The Aerospace industry is interestingly poised as demand is primed to outstrip supply. Efforts to increase supply must contend with higher development costs and increased time-to-market, caused at least in part by a scarcity of engineering skills.
.. In response, the industry is looking to build a business model that can easily scale up and down in response to the variability in demand. Global product development is a key element of such a flexible, scalable model that offers benefits such as increased speed-to-market, lower costs and enhanced flexibility. The key to successfully implementing a robust global product development capability lies in taking a modular approach to conceptualizing, building and managing a global model for Engineering.
CAD data quality plays an important part in today's modern design environment. With data arriving into the Digital Mock-Up (DMU) from a globally dispersed design community, it is imperative that the CAD data is of the right quality to serve any useful purpose.
.. CAD data quality falls into two main categories:
- Conformance to pre-defined standards and
- Geometric integrity
Failure in either of the categories will cause the DMU to be inaccurate and not fulfill its task, leading to expensive reworks in real life. Companies and organizations are now beginning to recognize the repercussions to their businesses if the data quality requirements are not met and so are not taking any chances.
This article was originally published in The Journal of the Institution of Engineering Designers
(May/June 05)
Carbon reinforced composites (CFC) or Carbon Fiber Reinforced Plastics (CFRP) are used extensively in aircraft structures as they give high stiffness and strength with lower weight. In this paper we consider a shear loaded square panel representing
... a segment of a composite (T300/914C) rib containing a reinforced circular cutout. Flanged holes considered are similar to those present in typical aluminum ribs and spars. A study of the effect of various reinforcement parameters is made both on strength and stability using MSC.Nastran. Studies show that use of CFC in such situations leads to weight savings.
Optimization of large-scale practical structures is a challenge even to this day. Mathematical programming techniques have been found to be inadequate for the solution of large practical problems with different types of structural elements and design variables.
... Genetic Algorithms (GAs), owing to its robustness and global nature along with other advantages over mathematical techniques are being increasingly used for solution of such problems. However, using GAs for large-scale optimization could be very expensive due to its requirement of large number of function evaluations for convergence. This would result in a prohibitive cost for computation of functional evaluations even with the best computational resources available today. A response surface method for GA-based structural optimization is presented in this paper to enable a solution to large practical optimization problems. The proposed method for function approximation is simple and effective. The method has no limitations on number of design variables in the problem. The method was illustrated by optimizing a ten bar truss with 10 design variables and a fuselage of a light transport aircraft. The optimum values obtained from function approximation approach were found to be in good agreement with that obtained from search without function approximations. The total number of actual evaluations was reduced by 86% in the large-scale problem, which is a significant saving in computational time. This method is very promising and can be a tremendous advantage for GA based optimization of large-scale practical structures.